Journal of Clinical Microbiology · 2014 · 111 citations · 37 references
Life SciencesInfectious DiseasesMicrobiologyGenomicsMedical MicrobiologyMolecular EpidemiologyGenome SequencingMolecular TypingPathogen GenomicsPhylogenetic EpidemiologySequence-based EpidemiologyVirulence GenomicsBacterial Population StructureMolecular Typing Of BacteriaMolecular Typing Of PathogensMultiple-locus Variable-number Tandem Repeat AnalysisSingle-nucleotide Polymorphism TypingVariable Number Tandem Repeat AnalysisVariable-number Tandem Repeat TypingWhole-genome Sequencing-based Typing
A retrospective investigation was performed to evaluate whole-genome sequencing as a benchmark for comparing molecular subtyping methods for Salmonella enterica serotype Enteritidis and survey the population structure of commonly encountered S. enterica serotype Enteritidis outbreak isolates in the United States. A total of 52 S. enterica serotype Enteritidis isolates representing 16 major outbreaks and three sporadic cases collected between 2001 and 2012 were sequenced and subjected to subtyping by four different methods: (i) whole-genome single-nucleotide-polymorphism typing (WGST), (ii) multiple-locus variable-number tandem-repeat (VNTR) analysis (MLVA), (iii) clustered regularly interspaced short palindromic repeats combined with multi-virulence-locus sequence typing (CRISPR-MVLST), and (iv) pulsed-field gel electrophoresis (PFGE). WGST resolved all outbreak clusters and provided useful robust phylogenetic inference results with high epidemiological correlation. While both MLVA and CRISPR-MVLST yielded higher discriminatory power than PFGE, MLVA outperformed the other methods in delineating outbreak clusters whereas CRISPR-MVLST showed the potential to trace major lineages and ecological origins of S. enterica serotype Enteritidis. Our results suggested that whole-genome sequencing makes a viable platform for the evaluation and benchmarking of molecular subtyping methods.
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Koichiro Tamura, Daniel G. Peterson, Nora Peterson et al. · Molecular Biology and Evolution · 2011 · 40.3K citations · Full text
Velvet: Algorithms for de novo short read assembly using de Bruijn graphs
Daniel R. Zerbino, Ewan Birney · Genome Research · 2008 · 9.7K citations · Full text